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https://github.com/colour-science/colour-datasets

Colour science datasets for use with Colour
https://github.com/colour-science/colour-datasets

color color-science color-space color-spaces colorspace colorspaces colour colour-science colour-space colour-spaces colourspace colourspaces data dataset datasets python spectral-data spectral-dataset spectral-datasets

Last synced: 13 days ago
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Colour science datasets for use with Colour

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README

        

Colour - Datasets
=================

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Colour science datasets for use with
`Colour `__ or any Python package
manipulating colours. The datasets are hosted in `Zenodo `__
under the
`Colour Science - Datasets `__
community.

It is open source and freely available under the
`BSD-3-Clause `__ terms.

.. contents:: **Table of Contents**
:backlinks: none
:depth: 2

.. sectnum::

Features
--------

**Colour - Datasets** was created to overcome issues encountered frequently
when trying to access or use colour science datasets:

- No straightforward ingestion path for dataset content.
- No simple loading mechanism for dataset content.
- Unavailability of the dataset, e.g. download url is down, dataset content is
passed directly from hand to hand.
- No information regarding the definitive origination of the dataset.

**Colour - Datasets** offers all the above: it allows users to ingest and load
colour science datasets with a single function call. The datasets information
is hosted on `Zenodo `__
where the record for a dataset typically contain:

- An *urls.txt* file describing the urls to source the dataset files from.
- A copy of those files in the eventuality where the source files are not
available or the content has changed without notice.
- Information about the authors, content and licensing.

When no explicit licensing information is available, the dataset adopts the
**Other (Not Open)** licensing scheme, implying that assessing usage conditions
is at the sole discretion of the users.

Examples
^^^^^^^^

**Colour - Datasets** can also be used online with
`Google Colab `__.

Most of the objects are available from the ``colour_datasets`` namespace:

.. code-block:: python

import colour_datasets

The available datasets are listed with the ``colour_datasets.datasets()``
definition:

.. code-block:: python

print(colour_datasets.datasets())

.. code-block:: text

colour-science-datasets
=======================

Datasets : 23
Synced : 1
URL : https://zenodo.org/communities/colour-science-datasets/

Datasets
--------

[ ] 3269926 : Agfa IT8.7/2 Set - Marszalec (n.d.)
[ ] 8314702 : Camera Dataset - Solomatov and Akkaynak (2023)
[ ] 3245883 : Camera Spectral Sensitivity Database - Jiang et al. (2013)
[ ] 3367463 : Constant Hue Loci Data - Hung and Berns (1995)
[ ] 3362536 : Constant Perceived-Hue Data - Ebner and Fairchild (1998)
[ ] 3270903 : Corresponding-Colour Datasets - Luo and Rhodes (1999)
[ ] 3269920 : Forest Colors - Jaaskelainen et al. (1994)
[ ] 4394536 : LUTCHI Colour Appearance Data - Luo and Rhodes (1997)
[x] 3245875 : Labsphere SRS-99-020 - Labsphere (2019)
[ ] 3269924 : Lumber Spectra - Hiltunen (n.d.)
[ ] 4051012 : Measured Commercial LED Spectra - Brendel (2020)
[ ] 3269918 : Munsell Colors Glossy (All) (Spectrofotometer Measured) - Orava (n.d.)
[ ] 3269916 : Munsell Colors Glossy (Spectrofotometer Measured) - Haanpalo (n.d.)
[ ] 3269914 : Munsell Colors Matt (AOTF Measured) - Hauta-Kasari (n.d.)
[ ] 3269912 : Munsell Colors Matt (Spectrofotometer Measured) - Hauta-Kasari (n.d.)
[ ] 3245895 : New Color Specifications for ColorChecker SG and Classic Charts - X-Rite (2016)
[ ] 3252742 : Observer Function Database - Asano (2015)
[ ] 3269922 : Paper Spectra - Haanpalo (n.d.)
[ ] 6590768 : Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)
[ ] 3372171 : RAW to ACES Utility Data - Dyer et al. (2017)
[ ] 4642271 : Spectral Database of Commonly Used Cine Lighting - Karge et al. (2015)
[ ] 4297288 : Spectral Sensitivity Database - Zhao et al. (2009)
[ ] 4050598 : Spectral Upsampling Coefficient Tables - Jakob and Hanika. (2019)

A ticked checkbox means that the particular dataset has been synced locally.
A dataset is loaded by using its unique number: *3245895*:

.. code-block:: python

print(colour_datasets.load("3245895").keys())

::

Pulling "New Color Specifications for ColorChecker SG and Classic Charts" record content...
Downloading "urls.txt" file: 8.19kB [00:01, 5.05kB/s]
Downloading "ColorChecker24_After_Nov2014.zip" file: 8.19kB [00:01, 6.52kB/s]
Downloading "ColorChecker24_Before_Nov2014.zip" file: 8.19kB [00:01, 7.66kB/s]
Downloading "ColorCheckerSG_After_Nov2014.zip" file: 8.19kB [00:01, 7.62kB/s]
Downloading "ColorCheckerSG_Before_Nov2014.zip" file: 8.19kB [00:00, 9.39kB/s]
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_Before_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_After_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_After_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_Before_Nov2014.zip" archive...
odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])

Alternatively, a dataset can be loaded by using its full title:
*New Color Specifications for ColorChecker SG and Classic Chart - X-Rite (2016)s*

.. code-block:: python

print(colour_datasets.load("3245895").keys())

.. code-block:: text

odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])

User Guide
----------

Installation
^^^^^^^^^^^^

Primary Dependencies
~~~~~~~~~~~~~~~~~~~~

**Colour - Datasets** requires various dependencies in order to run:

- `python >= 3.9, < 4 `__
- `cachetools `__
- `colour-science >= 4.3 `__
- `imageio >= 2, < 3 `__
- `numpy >= 1.22, < 2 `__
- `scipy >= 1.8, < 2 `__
- `tqdm `__
- `xlrd `__

Pypi
~~~~

Once the dependencies are satisfied, **Colour - Datasets** can be installed from
the `Python Package Index `__ by
issuing this command in a shell::

pip install --user colour-datasets

The overall development dependencies are installed as follows::

pip install --user 'colour-datasets[development]'

Contributing
^^^^^^^^^^^^

If you would like to contribute to `Colour - Datasets `__,
please refer to the following `Contributing `__
guide for `Colour `__.

Bibliography
^^^^^^^^^^^^

The bibliography is available in the repository in
`BibTeX `__
format.

API Reference
-------------

The main technical reference for `Colour - Datasets `__
is the `API Reference `__.

Code of Conduct
---------------

The *Code of Conduct*, adapted from the `Contributor Covenant 1.4 `__,
is available on the `Code of Conduct `__ page.

Contact & Social
----------------

The *Colour Developers* can be reached via different means:

- `Email `__
- `Facebook `__
- `Github Discussions `__
- `Gitter `__
- `Twitter `__

About
-----

| **Colour - Datasets** by Colour Developers
| Copyright 2019 Colour Developers – `[email protected] `__
| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause
| `https://github.com/colour-science/colour-datasets `__